Are you passionate about Big Data and Distributed systems? Do you enjoy building new state-of-the-art products at Petabyte scale? Be part of a team of world-class engineers and industry leading experts operating one of the largest big data platforms for advertising at Amazon scale.
Key job responsibilities
We are seeking an experienced software engineer to build the next generation of systems using open source technologies such as Hadoop, Spark and AWS services like EMR, Kinesis and DynamoDB. You will have background delivering highly distributed systems at scale, design patterns like SDKs, libraries, versioning, and a strong operational track record working with multiple teams. You will be responsible for designing and developing software products that will ingest non-endemic conversions events in to Amazon’s advertising for the purpose of measurement.
Candidates for this position should have strong engineering fundamentals as well as real-world experience. You will showcase diverse architectural approaches and design patterns in your technical design. Think big and stay informed about industry standards in Ad tech space. Communicate effectively across all leadership levels verbally and in writing. Lead deep technical discussions with senior engineers, collaborating to solve challenging problems. You will be able to quickly grasp new systems and provide valuable consultation.
A day in the life
We are responsible for processing non-endemic advertising events (over tens of billions of new events per day) such as clicks and views across all Off-Amazon products. We bring non-endemic conversions events into Amazon Ads for the purpose of measurement. Conversions are typically customer actions that advertisers associate to advertising campaigns to track performance metrics. These conversion events include Off-Amazon conversions, which occur on 3rd party websites.
About the team
Join our fast growing Amazon Ads team! This presents an unique opportunity to take ownership and lead significant initiatives to build innovative solutions to complex and challenging problems. You will encounter some of the toughest and most inspiring technical challenges of your career as you build petabyte-scale services, invent new big data paradigms, and scale for growth.
